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          <h1 id="前言"><a href="#前言" class="headerlink" title="前言"></a>前言</h1><p>最近在重新编写公司的脚手架全家桶，虽然以前也搞过一些小的脚手架，但大多基于download-git-repo一顿commander+inquirer的操作就完事儿了。但是搞全家桶的的任务不仅包含了一套cli，更重要的是核心的基础组件，比如说request库，事实上这个库的开发时间远远超过了我的排期，下面记录一下封装的过程重考虑到的一些问题。</p>
<h2 id="一、确定设计原则"><a href="#一、确定设计原则" class="headerlink" title="一、确定设计原则"></a>一、确定设计原则</h2><p>这里的设计原则其实就是组件特性，一个好的request库往往有如下特征：</p>
<ul>
<li>cross platform：比如说同时支持浏览器、node、微信小程序</li>
<li>simple：简洁，即api简洁和配置友好，最好能够零配置，开箱即用</li>
<li>promise： 基于promise，方便异步编程</li>
<li>cancelable: 可以取消已发出的请求</li>
<li>interceptor： 可以方便地进行请求和响应拦截设置</li>
<li>instantial： 提供实例化，多个实例可以独立配置和共享全局配置，方便一个项目向多个服务发送请求的场景处理</li>
<li>alternative： 可以支持request client的更换，比如底层更换xhr和fetch时是无感的 以上这么多可以参考项目的实际情况进行选择，或者制定开发路线，逐步实现</li>
</ul>
<h2 id="二、选型"><a href="#二、选型" class="headerlink" title="二、选型"></a>二、选型</h2><h3 id="请求库选型"><a href="#请求库选型" class="headerlink" title="请求库选型"></a>请求库选型</h3><p>$.ajax，axios，还是自己封装xhr或fetch？</p>
<p><strong>axios</strong>的好处十分明显：promise和各种配置、拦截器、cancel token等等，但是缺点也有不少，比如取消是基于cancelable promises proposal 而不是xhr的abort；无法配置全局拦截器让多实例共享；无法将底层更换为fetch等等。</p>
<p><strong>fetch</strong>的好处也很明显，基于promise和stream能带来非常多的操作便利性，而且还能在worker中使用，但是和xhr相比缺了不少配置，比如timeout等，需要自行实现</p>
<p>个人觉得在时间有限的情况下，基于axios进行二次封装过渡是一个更好的方案，毕竟主要的需求它都提供了。</p>
<h3 id="lib开发的技术选型"><a href="#lib开发的技术选型" class="headerlink" title="lib开发的技术选型"></a>lib开发的技术选型</h3><p><strong>语言</strong>，<strong>es</strong>还是<strong>ts</strong>？为了更好的开发和使用体验，往往会选择ts；</p>
<p><strong>打包</strong>：webpack？rollup？tsdx还是其他种种甚至单纯用tsc？虽然都可以达到目的，但是这个技术决策会影响后续的打包、发布时间，配置复杂度，其他人的接手成本等等，也是需要提前想好的。</p>
<p>如果使用ts开发，个人感觉tsdx还是非常方便的。</p>
<h2 id="三、api设计"><a href="#三、api设计" class="headerlink" title="三、api设计"></a>三、api设计</h2><h3 id="确定最终的使用方式即核心api"><a href="#确定最终的使用方式即核心api" class="headerlink" title="确定最终的使用方式即核心api"></a>确定最终的使用方式即核心api</h3><p>现在基本都用了<strong>swagger</strong>或者其他mock平台，那么基于swagger.json或者其他的api.json，是可以非常方便的生成接口代码已经定义参数和返回值类型的。但是编写这些生成脚本并不是这个库的目标，但是这个库需要提供非常简洁的api以支持这些脚本，比如这种</p>
<p><img src="./../imgs/207986b2db8a442c8f8fdb2435a0ad2a.png" alt="image.png"></p>
<p>装饰器<code>@HTTP.post</code>负责发送post请求，而<code>OpsHttpRequest</code>负责定义参数类型，使用者无需关心请求如何发送。 同时装饰器可以接受多个参数以满足配置需求，如</p>
<p><img src="./../imgs/987a8555af9c415083f9507ef7553f0b.png" alt="image.png"></p>
<p>为了满足更多的配置需求，可以<strong>设计构造器、实例方法，以及static api</strong></p>
<p><img src="./../imgs/f877c9447b8447c2a70b2de3d7e87316.png" alt="image.png"></p>
<h3 id="确定整体架构"><a href="#确定整体架构" class="headerlink" title="确定整体架构"></a>确定整体架构</h3><p>如果基于上图这套方案，可以分为三个模块：</p>
<p><strong>httpDecorator</strong>： 负责装饰器的逻辑</p>
<p><strong>adapter</strong>： 负责兼容不同的client，比如xhr和fetch，甚至其他第三方的request client</p>
<p><strong>request</strong>： 真正发送请求的client，将xhr、fetch或者axios的使用封装成一个Request对象</p>
<p>三者的关系是：httpDecorator改写属性描述符，接受参数，并传递给adapter；adapter找到相应的request client；request进行请求发送和响应处理</p>
<p>除了这些，<strong>还可以设计middleware模块</strong>，负责log、time监控记录和加密等，如果这个需求并不复杂和多变，直接放入request中实现也无不可</p>
<p>而说起请求的监控，往往又会引出一堆的工作~</p>
<h2 id="四、确定内置处理"><a href="#四、确定内置处理" class="headerlink" title="四、确定内置处理"></a>四、确定内置处理</h2><p>比如默认的log输出、对所有请求加上id，对带content-disposition头的进行下载处理等等。 只做什么相比能做什么，是一件更难决定的事情。</p>
<p><img src="./../imgs/3c5cb59c512245b8bf051524553a8083.png" alt="image.png"></p>
<h2 id="五、确定依赖"><a href="#五、确定依赖" class="headerlink" title="五、确定依赖"></a>五、确定依赖</h2><p>这个库依赖了哪些第三方的库，要用什么版本，是否固定这些依赖的PATCH版本？回答这些问题，往往需要仔细查阅这些依赖的各版本的changelog~</p>
<h2 id="六、确定测试方案"><a href="#六、确定测试方案" class="headerlink" title="六、确定测试方案"></a>六、确定测试方案</h2><p>作为一个核心库，自动化测试一定要有，测试场景一定要全面，往往需要自己写个简单的server测试各种场景：404，500，200，错误处理等等</p>
<h2 id="七、文档"><a href="#七、文档" class="headerlink" title="七、文档"></a>七、文档</h2><p>阻止我们脚步的，不是开发难题，而是还要编写文档~</p>
<p>readme和changelog肯定是少不了的，设计架构、实现原理、未来迭代计划往往也少不了。更多的时候，还需要提供一个小demo供使用者参考</p>

        
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